{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\brdbl\Dropbox\New Alliance Work\Nonproliferation and Burden-Sharing\Submissions\ISQ (Proliferation Elite Survey)\Final\ReplicationPackage\Replication_LogFile.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}31 Mar 2025, 17:48:08

{com}. do "C:\Users\brdbl\AppData\Local\Temp\STDcc4_000000.tmp"
{txt}
{com}. clear
{txt}
{com}. use ReplicationData.dta
{txt}
{com}. 
. ssc install grstyle, replace 
{txt}checking {hilite:grstyle} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install palettes, replace
{txt}checking {hilite:palettes} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install blindschemes, replace
{txt}checking {hilite:blindschemes} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. ssc install asdoc, replace
{txt}checking {hilite:asdoc} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. label var nuclear "Nuclear weapons support (baseline)"
{txt}
{com}. 
. label var individ_nodefend_nuke "Individual nuclear support (refusal to defend)"
{txt}
{com}. label var individ_conditional_nuke "Individual support (threat of abandon)"
{txt}
{com}. label var individ_withdraw_nuke "Individual support (troop withdrawal)"
{txt}
{com}. label var individ_spendinginc_nuke "Individual support (2x spending increase)"
{txt}
{com}. 
. 
. label var govt_nodefend_nuke "Gov't nuclear likelihood (refusal to defend)"
{txt}
{com}. label var govt_conditional_nuke "Gov't nuclear likelihood (threat of abandon)"
{txt}
{com}. label var govt_withdraw_nuke "Gov't nuclear likelihood (troop withdrawal)"
{txt}
{com}. label var govt_spendinginc_nuke "Gov't nuclear likelihood (2x spending increase)"
{txt}
{com}. 
. 
. *Figure 1*
. preserve
{txt}
{com}. gen pair = _n
{txt}
{com}. gen mean_diff = .
{txt}(121 missing values generated)

{com}. gen lowerci = .
{txt}(121 missing values generated)

{com}. gen upperci = .
{txt}(121 missing values generated)

{com}. ttest nuclear==individ_nodefend_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 nuclear {c |}{res}{col 12}    106{col 22} 1.896226{col 34} .0975248{col 46}  1.00408{col 58} 1.702853{col 70}   2.0896
{txt}i~d_nuke {c |}{res}{col 12}    106{col 22} 2.358491{col 34} .1215272{col 46} 1.251199{col 58} 2.117525{col 70} 2.599457
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    106{col 22}-.4622642{col 34} .0849655{col 46} .8747737{col 58}-.6307351{col 70}-.2937932
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}nuclear{txt} - {res}individ_nodefe~e{txt})                t = {res} -5.4406
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     105

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==4
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==4
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==4
{txt}(1 real change made)

{com}. *gen lowerci2 = mean_diff - 1.96*r(se)
. 
. ttest nuclear==individ_conditional_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 nuclear {c |}{res}{col 12}    107{col 22}  1.88785{col 34} .0969715{col 46} 1.003081{col 58} 1.695595{col 70} 2.080106
{txt}i~l_nuke {c |}{res}{col 12}    107{col 22}  2.17757{col 34} .1069059{col 46} 1.105843{col 58} 1.965619{col 70} 2.389521
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    107{col 22}-.2897196{col 34} .0796852{col 46} .8242704{col 58}-.4477033{col 70}-.1317359
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}nuclear{txt} - {res}individ_condit~e{txt})                t = {res} -3.6358
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     106

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0002         {txt}Pr(|T| > |t|) = {res}0.0004          {txt}Pr(T > t) = {res}0.9998
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==2
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==2
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==2
{txt}(1 real change made)

{com}. 
. 
. ttest nuclear==individ_withdraw_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 nuclear {c |}{res}{col 12}     78{col 22} 1.948718{col 34}  .118118{col 46}  1.04319{col 58} 1.713515{col 70} 2.183921
{txt}i~w_nuke {c |}{res}{col 12}     78{col 22} 2.346154{col 34} .1434865{col 46} 1.267239{col 58} 2.060436{col 70} 2.631872
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}     78{col 22}-.3974359{col 34} .0918594{col 46}   .81128{col 58}-.5803513{col 70}-.2145205
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}nuclear{txt} - {res}individ_withdr~e{txt})                t = {res} -4.3266
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}      77

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==3
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==3
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==3
{txt}(1 real change made)

{com}. 
. ttest nuclear==individ_spendinginc_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 nuclear {c |}{res}{col 12}    106{col 22} 1.896226{col 34} .0975248{col 46}  1.00408{col 58} 1.702853{col 70}   2.0896
{txt}i~c_nuke {c |}{res}{col 12}    106{col 22} 2.056604{col 34} .0946267{col 46} .9742415{col 58} 1.868977{col 70} 2.244231
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    106{col 22}-.1603774{col 34} .0735895{col 46} .7576504{col 58}-.3062918{col 70}-.0144629
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}nuclear{txt} - {res}individ_spendi~e{txt})                t = {res} -2.1794
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     105

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0158         {txt}Pr(|T| > |t|) = {res}0.0315          {txt}Pr(T > t) = {res}0.9842
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==1
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==1
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==1
{txt}(1 real change made)

{com}. 
. 
. grstyle init // initiates grstyle
{res}{txt}
{com}. grstyle set horizontal // set tick labels horizontal
{txt}
{com}. grstyle set compact // overall design compact
{txt}
{com}. grstyle set size small: subheading axis_title // subtitle and axis title set to small
{txt}
{com}. grstyle set size vsmall: small_body // margin around notes
{txt}
{com}. grstyle set legend 6, nobox //legend position on 6 o'clock, removes box
{txt}
{com}. grstyle set linewidth thin: major_grid // set grid line thickness to thin
{txt}
{com}. grstyle set linewidth thin: tick // set tick thickness to thin
{txt}
{com}. grstyle set linewidth thin: axisline // set axislines thickness to thin
{txt}
{com}. grstyle set linewidth vthin: xyline // reference line at 0
{txt}
{com}. grstyle color background white // set overall background to white
{txt}
{com}. 
. set scheme plotplain
{txt}
{com}. 
. twoway (scatter pair mean_diff  if pair < 5 & pair != ., sort(pair) mcolor(black) xline(0, lpattern(dash))) ///
> || (rcap upperci lowerci pair if pair < 5 & pair != ., horizontal lcolor(black)), graphregion(fcolor(white)) scheme(white_tableau) ylabel(1 "2x Spending Increase" 2 "Conditional Threat" 3 "Troop Withdrawal" 4 "Refusal to Defend") xtitle("Differences in Means from Baseline (mean=1.88)") ytitle("") legend(off) xtick(-0.2(0.2)0.8) xlabel(-0.2(0.2)0.8)
{res}{txt}
{com}. *graph export "Figure1.jpg", replace as(jpg)  width(1000)
. *graph export "Figure1.eps", replace
. restore
{txt}
{com}. 
. *Figure 2*
. 
. preserve
{txt}
{com}. gen pair = _n
{txt}
{com}. gen mean_diff = .
{txt}(121 missing values generated)

{com}. gen lowerci = .
{txt}(121 missing values generated)

{com}. gen upperci = .
{txt}(121 missing values generated)

{com}. ttest  govt_spendinginc_nuke=govt_nodefend_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
govt_s~e {c |}{res}{col 12}    106{col 22}  1.54717{col 34} .0616224{col 46} .6344413{col 58} 1.424984{col 70} 1.669356
{txt}govt_n~e {c |}{res}{col 12}    106{col 22} 1.726415{col 34} .0832116{col 46}  .856716{col 58} 1.561422{col 70} 1.891408
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    106{col 22}-.1792453{col 34} .0565513{col 46} .5822317{col 58}-.2913761{col 70}-.0671144
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}govt_spendingi~e{txt} - {res}govt_nodefend_~e{txt})       t = {res} -3.1696
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     105

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0010         {txt}Pr(|T| > |t|) = {res}0.0020          {txt}Pr(T > t) = {res}0.9990
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==3
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==3
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==3
{txt}(1 real change made)

{com}. *gen lowerci2 = mean_diff - 1.96*r(se)
. 
. ttest  govt_spendinginc_nuke=govt_withdraw_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
govt_s~e {c |}{res}{col 12}     77{col 22} 1.623377{col 34} .0716922{col 46} .6290963{col 58} 1.480589{col 70} 1.766164
{txt}govt_w~e {c |}{res}{col 12}     77{col 22} 1.727273{col 34} .0954114{col 46} .8372317{col 58} 1.537244{col 70} 1.917301
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}     77{col 22}-.1038961{col 34} .0572329{col 46} .5022165{col 58}-.2178853{col 70} .0100931
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}govt_spendingi~e{txt} - {res}govt_withdraw_~e{txt})       t = {res} -1.8153
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}      76

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0367         {txt}Pr(|T| > |t|) = {res}0.0734          {txt}Pr(T > t) = {res}0.9633
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==2
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==2
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==2
{txt}(1 real change made)

{com}. 
. 
. ttest  govt_spendinginc_nuke=govt_conditional_nuke

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
govt_s~e {c |}{res}{col 12}    106{col 22}  1.54717{col 34} .0616224{col 46} .6344413{col 58} 1.424984{col 70} 1.669356
{txt}govt_c~e {c |}{res}{col 12}    106{col 22}  1.59434{col 34} .0667272{col 46}  .686999{col 58} 1.462032{col 70} 1.726647
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    106{col 22}-.0471698{col 34}  .055888{col 46} .5754017{col 58}-.1579853{col 70} .0636457
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}govt_spendingi~e{txt} - {res}govt_condition~e{txt})       t = {res} -0.8440
{txt} Ho: mean(diff) = 0                              degrees of freedom = {res}     105

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.2003         {txt}Pr(|T| > |t|) = {res}0.4006          {txt}Pr(T > t) = {res}0.7997
{txt}
{com}. replace mean_diff = r(mu_2) - r(mu_1) if pair==1
{txt}(1 real change made)

{com}. *scalar lb = mean_diff - invt(r(df_t), 0.975)*r(se)
. *scalar ub = mean_diff + invt(r(df_t), 0.975)*r(se)
. *scalar dir
. replace lowerci = mean_diff - invt(r(df_t), 0.975)*r(se) if pair==1
{txt}(1 real change made)

{com}. replace upperci = mean_diff + invt(r(df_t), 0.975)*r(se) if pair==1
{txt}(1 real change made)

{com}. 
. 
. grstyle init // initiates grstyle
{res}{txt}
{com}. grstyle set horizontal // set tick labels horizontal
{txt}
{com}. grstyle set compact // overall design compact
{txt}
{com}. grstyle set size small: subheading axis_title // subtitle and axis title set to small
{txt}
{com}. grstyle set size vsmall: small_body // margin around notes
{txt}
{com}. grstyle set legend 6, nobox //legend position on 6 o'clock, removes box
{txt}
{com}. grstyle set linewidth thin: major_grid // set grid line thickness to thin
{txt}
{com}. grstyle set linewidth thin: tick // set tick thickness to thin
{txt}
{com}. grstyle set linewidth thin: axisline // set axislines thickness to thin
{txt}
{com}. grstyle set linewidth vthin: xyline // reference line at 0
{txt}
{com}. grstyle color background white // set overall background to white
{txt}
{com}. 
. set scheme plotplain
{txt}
{com}. 
. twoway (scatter pair mean_diff  if pair < 4 & pair != ., sort(pair) mcolor(black) xline(0, lpattern(dash))) ///
> || (rcap upperci lowerci pair if pair < 4 & pair != ., horizontal lcolor(black)), graphregion(fcolor(white)) scheme(white_tableau) ylabel(1 "Conditional Threat" 2 "Troop Withdrawal" 3 "Refusal to Defend") xtitle("Differences in Means from 2x Spending Increase Scenario (mean=1.55)") ytitle("") legend(off) xtick(-0.2(0.2)0.8) xlabel(-0.2(0.2)0.8)
{res}{txt}
{com}. *graph export "Figure2.jpg", replace as(jpg)  width(1000)
. *graph export "Figure2.eps", replace
. restore
{txt}
{com}. 
. 
. *Figure 3a*
. 
. grstyle init // initiates grstyle
{res}{txt}
{com}. grstyle set horizontal // set tick labels horizontal
{txt}
{com}. grstyle set compact // overall design compact
{txt}
{com}. grstyle set size small: subheading axis_title // subtitle and axis title set to small
{txt}
{com}. grstyle set size vsmall: small_body // margin around notes
{txt}
{com}. grstyle set legend 6, nobox //legend position on 6 o'clock, removes box
{txt}
{com}. grstyle set linewidth thin: major_grid // set grid line thickness to thin
{txt}
{com}. grstyle set linewidth thin: tick // set tick thickness to thin
{txt}
{com}. grstyle set linewidth thin: axisline // set axislines thickness to thin
{txt}
{com}. grstyle set linewidth vthin: xyline // reference line at 0
{txt}
{com}. grstyle color background white // set overall background to white
{txt}
{com}. 
. 
. set scheme plotplain
{txt}
{com}. 
. preserve
{txt}
{com}. replace country = "Slovakia" if country=="Slovak Republic"
{txt}(0 real changes made)

{com}. replace country = "Netherlands" if country=="The Netherlands"
{txt}(0 real changes made)

{com}. replace country = "Neth." if country=="Netherlands"
{txt}(3 real changes made)

{com}. drop if country=="France"
{txt}(0 observations deleted)

{com}. 
. foreach var in nonukes1_alliance nonukes1_intlnorms nonukes1_natlidentity  nonukes1_technical nonukes1_abandon nonukes1_nothreat nonukes1_sanctions nonukes1_preventive {c -(}
{txt}  2{com}. egen `var'_sum = sum(`var')
{txt}  3{com}. {c )-}
{txt}
{com}. gen nonukes1_reason = "No Threat" if _n==1
{txt}(120 missing values generated)

{com}. replace nonukes1_reason = "Alliance w/ US" if _n==2
{txt}variable {bf}nonukes1_reason{sf} was {bf}{res}str9{sf}{txt} now {bf}{res}str14{sf}
{txt}(1 real change made)

{com}. replace nonukes1_reason = "Technically Difficult" if _n==3
{txt}variable {bf}nonukes1_reason{sf} was {bf}{res}str14{sf}{txt} now {bf}{res}str21{sf}
{txt}(1 real change made)

{com}. replace nonukes1_reason = "National Identity" if _n==4
{txt}(1 real change made)

{com}. replace nonukes1_reason = "Norms" if _n==5
{txt}(1 real change made)

{com}. replace nonukes1_reason = "US Abandonment" if _n==6
{txt}(1 real change made)

{com}. replace nonukes1_reason = "Sanctions" if _n==7
{txt}(1 real change made)

{com}. replace nonukes1_reason = "Preventive War" if _n==8
{txt}(1 real change made)

{com}. gen nonukes1_sum = nonukes1_alliance_sum if _n==2
{txt}(120 missing values generated)

{com}. replace nonukes1_sum = nonukes1_intlnorms_sum if _n==5
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_natlidentity_sum if _n==4
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_technical_sum if _n==3
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_abandon_sum if _n==6
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_nothreat_sum if _n==1
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_sanctions_sum if _n==7
{txt}(1 real change made)

{com}. replace nonukes1_sum = nonukes1_preventive_sum if _n==8
{txt}(1 real change made)

{com}. 
. 
. *graph hbar (sum) nonukes1_alliance nonukes1_intlnorms nonukes1_natlidentity  nonukes1_technical nonukes1_abandon nonukes1_nothreat nonukes1_sanctions nonukes1_preventive if country != "France" & nuclear != ., graphregion(fcolor(white)) ytitle("Number of Respondents Citing Why their Country Has No NW Program", size(medium)) legend(lab(5 "No Threat") lab(1 "Alliance w/ US") lab(4 "Technically Difficult") lab(3 "National Identity") lab(2 "Norms") lab(7 "Sanctions") lab(8 "Preventive War") lab(6 "US Abandonment"))
. graph hbar (sum) nonukes1_sum, over(nonukes1_reason, sort(nonukes1_sum) descending label(labsize(*0.8))) graphregion(fcolor(white)) ytitle("Number of Respondents Citing Why their Country Has No Nuclear Weapons Program", size(small))
{res}{txt}
{com}. *graph export "Figure3a.jpg", replace as(jpg)  width(1000)
. *graph export "Figure3a.eps", replace
. *eststo clear
. restore
{txt}
{com}. 
. *Figure 3b*
. 
. grstyle init // initiates grstyle
{res}{txt}
{com}. grstyle set horizontal // set tick labels horizontal
{txt}
{com}. grstyle set compact // overall design compact
{txt}
{com}. grstyle set size small: subheading axis_title // subtitle and axis title set to small
{txt}
{com}. grstyle set size vsmall: small_body // margin around notes
{txt}
{com}. grstyle set legend 6, nobox //legend position on 6 o'clock, removes box
{txt}
{com}. grstyle set linewidth thin: major_grid // set grid line thickness to thin
{txt}
{com}. grstyle set linewidth thin: tick // set tick thickness to thin
{txt}
{com}. grstyle set linewidth thin: axisline // set axislines thickness to thin
{txt}
{com}. grstyle set linewidth vthin: xyline // reference line at 0
{txt}
{com}. grstyle color background white // set overall background to white
{txt}
{com}. 
. 
. set scheme plotplain
{txt}
{com}. 
. preserve
{txt}
{com}. drop if country=="France"
{txt}(0 observations deleted)

{com}. keep nonukes2
{txt}
{com}. duplicates drop nonukes2, force

{p 0 4}{txt}Duplicates in terms of {res} nonukes2{p_end}

{txt}(114 observations deleted)

{com}. gen nonukes2_num = 0 
{txt}
{com}. replace nonukes2_num = 4 if nonukes2=="No need for them due to not facing a major foreign threat"
{txt}(1 real change made)

{com}. replace nonukes2_num = 48 if nonukes2=="No need for them due to the alliance with the United States"
{txt}(1 real change made)

{com}. replace nonukes2_num = 4 if nonukes2=="Producing nuclear weapons would be too difficult technically"
{txt}(1 real change made)

{com}. replace nonukes2_num = 18 if nonukes2=="Acquiring nuclear weapons would not be consistent with the country’s national identity"
{txt}(1 real change made)

{com}. replace nonukes2_num = 28 if nonukes2=="Acquiring nuclear weapons would not be consistent with international norms and international law"
{txt}(1 real change made)

{com}. replace nonukes2_num = 2 if nonukes2=="Pursuing nuclear weapons would cause the country to be abandoned by the United States"
{txt}(1 real change made)

{com}. 
. replace nonukes2 = "No Threat" if nonukes2=="No need for them due to not facing a major foreign threat"
{txt}(1 real change made)

{com}. replace nonukes2 = "Alliance w/ US" if nonukes2=="No need for them due to the alliance with the United States"
{txt}(1 real change made)

{com}. replace nonukes2 = "Technically Difficult" if nonukes2=="Producing nuclear weapons would be too difficult technically"
{txt}(1 real change made)

{com}. replace nonukes2 = "National Identity" if nonukes2=="Acquiring nuclear weapons would not be consistent with the country’s national identity"
{txt}(1 real change made)

{com}. replace nonukes2 = "Norms" if nonukes2=="Acquiring nuclear weapons would not be consistent with international norms and international law"
{txt}(1 real change made)

{com}. replace nonukes2 = "US Abandonment" if nonukes2=="Pursuing nuclear weapons would cause the country to be abandoned by the United States"
{txt}(1 real change made)

{com}. insobs 2
{txt}(2 observations added)

{com}. replace nonukes2 = "Sanctions" if _n==8
{txt}(1 real change made)

{com}. replace nonukes2 = "Preventive War" if _n==9
{txt}(1 real change made)

{com}. replace nonukes2_num = 0 if _n==8
{txt}(1 real change made)

{com}. replace nonukes2_num = 0 if _n==9
{txt}(1 real change made)

{com}. graph hbar (sum) nonukes2_num, over(nonukes2, sort(nonukes2_num) descending label(labsize(*0.8))) graphregion(fcolor(white)) ytitle("Number of Respondents Citing Why their Country Has No Nuclear Weapons Program", size(small))
{res}{txt}
{com}. *graph export "Figure3b.jpg", replace as(jpg)  width(1000)
. *graph export "Figure3b.eps", replace
. *eststo clear
. restore
{txt}
{com}. 
. *Figure 4*
. 
. preserve
{txt}
{com}. grstyle init // initiates grstyle
{res}{txt}
{com}. grstyle set horizontal // set tick labels horizontal
{txt}
{com}. grstyle set compact // overall design compact
{txt}
{com}. grstyle set size small: subheading axis_title // subtitle and axis title set to small
{txt}
{com}. grstyle set size vsmall: small_body // margin around notes
{txt}
{com}. grstyle set legend 6, nobox //legend position on 6 o'clock, removes box
{txt}
{com}. grstyle set linewidth thin: major_grid // set grid line thickness to thin
{txt}
{com}. grstyle set linewidth thin: tick // set tick thickness to thin
{txt}
{com}. grstyle set linewidth thin: axisline // set axislines thickness to thin
{txt}
{com}. grstyle set linewidth vthin: xyline // reference line at 0
{txt}
{com}. grstyle color background white // set overall background to white
{txt}
{com}. set scheme plotplain
{txt}
{com}. 
. eststo clear
{txt}
{com}. label var nonukes1_nothreat "Why no nukes: No threat"
{txt}
{com}. label var nonukes1_abandon "Why no nukes: Would be abandoned by US"
{txt}
{com}. label var nonukes1_technical "Why no nukes: Too technically difficult"
{txt}
{com}. label var nonukes1_natlidentity "Why no nukes: Nat'l identity"
{txt}
{com}. label var nonukes1_intlnorms "Why no nukes: Internat'l norms"
{txt}
{com}. label var nonukes1_alliance "Why no nukes: Alliance w/ US"
{txt}
{com}. label var nonukes1_preventive "Why no nukes: Fear of preventive attack"
{txt}
{com}. label var nonukes1_sanctions "Why no nukes: Fear of sanctions"
{txt}
{com}. eststo: reg govt_nodefend_nuke milspending_govt antimilitarism_govt safety_govt moscow nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(12, 88)       = {res}     1.84
{txt}       Model {c |} {res} 14.8745179        12  1.23954316   {txt}Prob > F        ={res}    0.0540
{txt}    Residual {c |} {res} 59.3631058        88  .674580748   {txt}R-squared       ={res}    0.2004
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0913
{txt}       Total {c |} {res} 74.2376238       100  .742376238   {txt}Root MSE        =   {res} .82133

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_nodefend_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}milspending_govt {c |}{col 23}{res}{space 2}-.0472986{col 35}{space 2} .0914697{col 46}{space 1}   -0.52{col 55}{space 3}0.606{col 63}{space 4}-.2290754{col 76}{space 3} .1344781
{txt}{space 2}antimilitarism_govt {c |}{col 23}{res}{space 2} .0081176{col 35}{space 2} .0794506{col 46}{space 1}    0.10{col 55}{space 3}0.919{col 63}{space 4}-.1497738{col 76}{space 3}  .166009
{txt}{space 10}safety_govt {c |}{col 23}{res}{space 2}-.1765022{col 35}{space 2} .1253664{col 46}{space 1}   -1.41{col 55}{space 3}0.163{col 63}{space 4}-.4256415{col 76}{space 3}  .072637
{txt}{space 15}moscow {c |}{col 23}{res}{space 2} .0003951{col 35}{space 2} .0002158{col 46}{space 1}    1.83{col 55}{space 3}0.071{col 63}{space 4}-.0000338{col 76}{space 3} .0008239
{txt}{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2} -.480999{col 35}{space 2} .2310746{col 46}{space 1}   -2.08{col 55}{space 3}0.040{col 63}{space 4}-.9402112{col 76}{space 3}-.0217868
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .5105235{col 35}{space 2} .2292266{col 46}{space 1}    2.23{col 55}{space 3}0.028{col 63}{space 4} .0549838{col 76}{space 3} .9660633
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.0082514{col 35}{space 2}   .20898{col 46}{space 1}   -0.04{col 55}{space 3}0.969{col 63}{space 4}-.4235552{col 76}{space 3} .4070524
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.4636814{col 35}{space 2} .2228268{col 46}{space 1}   -2.08{col 55}{space 3}0.040{col 63}{space 4}-.9065028{col 76}{space 3}  -.02086
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2} -.102804{col 35}{space 2}  .193545{col 46}{space 1}   -0.53{col 55}{space 3}0.597{col 63}{space 4} -.487434{col 76}{space 3} .2818259
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} .1566673{col 35}{space 2} .2928393{col 46}{space 1}    0.53{col 55}{space 3}0.594{col 63}{space 4}-.4252893{col 76}{space 3} .7386239
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1454626{col 35}{space 2} .2593984{col 46}{space 1}    0.56{col 55}{space 3}0.576{col 63}{space 4}-.3700371{col 76}{space 3} .6609624
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .3796032{col 35}{space 2} .2472591{col 46}{space 1}    1.54{col 55}{space 3}0.128{col 63}{space 4}-.1117723{col 76}{space 3} .8709788
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.084233{col 35}{space 2} .6281296{col 46}{space 1}    3.32{col 55}{space 3}0.001{col 63}{space 4} .8359575{col 76}{space 3} 3.332509
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. margins, at(nonukes1_alliance=(0(1)1)) atmeans predict(xb) coeflegend post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       101
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.910891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.910891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.613861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 4}1047.99 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1881188 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.2178218 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7722772 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6435644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1584158 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1683168 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1881188 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.910891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.910891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.613861 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 4}1047.99 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1881188 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.2178218 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7722772 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6435644 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1584158 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1683168 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1881188 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.303233{col 26}{txt}  _b[1bn._at]
{space 10}2  {c |}{col 14}{res}{space 2} 1.813757{col 26}{txt}  _b[2._at]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store model1
{txt}
{com}. eststo: reg govt_conditional_nuke milspending_govt antimilitarism_govt safety_govt moscow nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       102
{txt}{hline 13}{c +}{hline 34}   F(12, 89)       = {res}     1.29
{txt}       Model {c |} {res} 7.19141385        12  .599284487   {txt}Prob > F        ={res}    0.2382
{txt}    Residual {c |} {res}  41.328194        89   .46436173   {txt}R-squared       ={res}    0.1482
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0334
{txt}       Total {c |} {res} 48.5196078       101  .480392157   {txt}Root MSE        =   {res} .68144

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_conditional_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}milspending_govt {c |}{col 23}{res}{space 2}-.0089826{col 35}{space 2} .0758718{col 46}{space 1}   -0.12{col 55}{space 3}0.906{col 63}{space 4}-.1597383{col 76}{space 3} .1417731
{txt}{space 2}antimilitarism_govt {c |}{col 23}{res}{space 2} .0537102{col 35}{space 2} .0659054{col 46}{space 1}    0.81{col 55}{space 3}0.417{col 63}{space 4}-.0772425{col 76}{space 3} .1846629
{txt}{space 10}safety_govt {c |}{col 23}{res}{space 2}-.1798003{col 35}{space 2} .1031479{col 46}{space 1}   -1.74{col 55}{space 3}0.085{col 63}{space 4} -.384753{col 76}{space 3} .0251524
{txt}{space 15}moscow {c |}{col 23}{res}{space 2} .0002099{col 35}{space 2} .0001787{col 46}{space 1}    1.17{col 55}{space 3}0.243{col 63}{space 4}-.0001453{col 76}{space 3} .0005651
{txt}{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2} -.088822{col 35}{space 2}  .191588{col 46}{space 1}   -0.46{col 55}{space 3}0.644{col 63}{space 4}-.4695033{col 76}{space 3} .2918594
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .2566937{col 35}{space 2} .1901589{col 46}{space 1}    1.35{col 55}{space 3}0.180{col 63}{space 4}-.1211479{col 76}{space 3} .6345353
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.1612419{col 35}{space 2} .1730192{col 46}{space 1}   -0.93{col 55}{space 3}0.354{col 63}{space 4}-.5050274{col 76}{space 3} .1825436
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.4074051{col 35}{space 2} .1847868{col 46}{space 1}   -2.20{col 55}{space 3}0.030{col 63}{space 4}-.7745726{col 76}{space 3}-.0402376
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.1180934{col 35}{space 2} .1604407{col 46}{space 1}   -0.74{col 55}{space 3}0.464{col 63}{space 4}-.4368856{col 76}{space 3} .2006988
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} .0108134{col 35}{space 2} .2371974{col 46}{space 1}    0.05{col 55}{space 3}0.964{col 63}{space 4}-.4604928{col 76}{space 3} .4821196
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1097309{col 35}{space 2}  .211686{col 46}{space 1}    0.52{col 55}{space 3}0.605{col 63}{space 4}-.3108846{col 76}{space 3} .5303464
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .1895173{col 35}{space 2} .2042003{col 46}{space 1}    0.93{col 55}{space 3}0.356{col 63}{space 4}-.2162243{col 76}{space 3} .5952589
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.080192{col 35}{space 2} .5200699{col 46}{space 1}    4.00{col 55}{space 3}0.000{col 63}{space 4} 1.046825{col 76}{space 3}  3.11356
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}. margins, at(nonukes1_alliance=(0(1)1)) atmeans predict(xb) coeflegend post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       102
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.911765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.911765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.607843 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 3}1047.627 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1862745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.2156863 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7745098 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6470588 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1960784 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.911765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.911765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.607843 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 3}1047.627 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1862745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.2156863 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7745098 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6470588 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1960784 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.386644{col 26}{txt}  _b[1bn._at]
{space 10}2  {c |}{col 14}{res}{space 2} 1.643338{col 26}{txt}  _b[2._at]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store model2
{txt}
{com}. eststo: reg govt_withdraw_nuke milspending_govt antimilitarism_govt safety_govt moscow nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        78
{txt}{hline 13}{c +}{hline 34}   F(12, 65)       = {res}     1.35
{txt}       Model {c |} {res} 10.9317594        12  .910979949   {txt}Prob > F        ={res}    0.2146
{txt}    Residual {c |} {res} 43.9400355        65  .676000546   {txt}R-squared       ={res}    0.1992
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0514
{txt}       Total {c |} {res} 54.8717949        77  .712620713   {txt}Root MSE        =   {res} .82219

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_withdraw_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}milspending_govt {c |}{col 23}{res}{space 2}-.1109606{col 35}{space 2} .1064807{col 46}{space 1}   -1.04{col 55}{space 3}0.301{col 63}{space 4}-.3236172{col 76}{space 3}  .101696
{txt}{space 2}antimilitarism_govt {c |}{col 23}{res}{space 2} .0538443{col 35}{space 2} .0921854{col 46}{space 1}    0.58{col 55}{space 3}0.561{col 63}{space 4}-.1302626{col 76}{space 3} .2379513
{txt}{space 10}safety_govt {c |}{col 23}{res}{space 2} .0210323{col 35}{space 2}  .151375{col 46}{space 1}    0.14{col 55}{space 3}0.890{col 63}{space 4}-.2812844{col 76}{space 3} .3233491
{txt}{space 15}moscow {c |}{col 23}{res}{space 2} .0000258{col 35}{space 2} .0002455{col 46}{space 1}    0.11{col 55}{space 3}0.917{col 63}{space 4}-.0004645{col 76}{space 3} .0005161
{txt}{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.3681143{col 35}{space 2} .2799628{col 46}{space 1}   -1.31{col 55}{space 3}0.193{col 63}{space 4}-.9272385{col 76}{space 3}   .19101
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .6348136{col 35}{space 2} .2751685{col 46}{space 1}    2.31{col 55}{space 3}0.024{col 63}{space 4} .0852641{col 76}{space 3} 1.184363
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2} .2683992{col 35}{space 2} .2751133{col 46}{space 1}    0.98{col 55}{space 3}0.333{col 63}{space 4}-.2810399{col 76}{space 3} .8178384
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.4923412{col 35}{space 2} .2573368{col 46}{space 1}   -1.91{col 55}{space 3}0.060{col 63}{space 4}-1.006278{col 76}{space 3} .0215959
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.0205851{col 35}{space 2} .2318793{col 46}{space 1}   -0.09{col 55}{space 3}0.930{col 63}{space 4}-.4836799{col 76}{space 3} .4425098
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}  .161163{col 35}{space 2} .3748142{col 46}{space 1}    0.43{col 55}{space 3}0.669{col 63}{space 4}-.5873926{col 76}{space 3} .9097187
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .3745577{col 35}{space 2}  .325618{col 46}{space 1}    1.15{col 55}{space 3}0.254{col 63}{space 4}-.2757463{col 76}{space 3} 1.024862
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .3232146{col 35}{space 2} .3064024{col 46}{space 1}    1.05{col 55}{space 3}0.295{col 63}{space 4}-.2887133{col 76}{space 3} .9351425
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.637189{col 35}{space 2} .7335225{col 46}{space 1}    2.23{col 55}{space 3}0.029{col 63}{space 4} .1722434{col 76}{space 3} 3.102135
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. margins, at(nonukes1_alliance=(0(1)1)) atmeans predict(xb) coeflegend post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}        78
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.833333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.948718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.589744 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 3}1113.372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.1794872 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7564103 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6025641 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1410256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1410256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1923077 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 3}3.833333 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 3}2.948718 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 3}3.589744 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 3}1113.372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 3}.1666667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 3}.1794872 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 3}.7564103 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 3}.6025641 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 3}.1410256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 3}.1410256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 3}.1923077 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.214578{col 26}{txt}  _b[1bn._at]
{space 10}2  {c |}{col 14}{res}{space 2} 1.849392{col 26}{txt}  _b[2._at]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store model3
{txt}
{com}. eststo: reg govt_spendinginc_nuke milspending_govt antimilitarism_govt safety_govt moscow nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       100
{txt}{hline 13}{c +}{hline 34}   F(12, 87)       = {res}     1.43
{txt}       Model {c |} {res} 6.07308361        12  .506090301   {txt}Prob > F        ={res}    0.1688
{txt}    Residual {c |} {res} 30.8369164        87  .354447315   {txt}R-squared       ={res}    0.1645
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0493
{txt}       Total {c |} {res}      36.91        99  .372828283   {txt}Root MSE        =   {res} .59535

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_spendinginc_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}milspending_govt {c |}{col 23}{res}{space 2}-.0690054{col 35}{space 2} .0666255{col 46}{space 1}   -1.04{col 55}{space 3}0.303{col 63}{space 4}-.2014308{col 76}{space 3} .0634199
{txt}{space 2}antimilitarism_govt {c |}{col 23}{res}{space 2} .0396669{col 35}{space 2} .0579813{col 46}{space 1}    0.68{col 55}{space 3}0.496{col 63}{space 4}-.0755771{col 76}{space 3}  .154911
{txt}{space 10}safety_govt {c |}{col 23}{res}{space 2}-.2172873{col 35}{space 2} .0909475{col 46}{space 1}   -2.39{col 55}{space 3}0.019{col 63}{space 4}-.3980552{col 76}{space 3}-.0365193
{txt}{space 15}moscow {c |}{col 23}{res}{space 2} .0002497{col 35}{space 2} .0001567{col 46}{space 1}    1.59{col 55}{space 3}0.115{col 63}{space 4}-.0000618{col 76}{space 3} .0005611
{txt}{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2} -.178514{col 35}{space 2} .1681399{col 46}{space 1}   -1.06{col 55}{space 3}0.291{col 63}{space 4}-.5127104{col 76}{space 3} .1556823
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .3127838{col 35}{space 2} .1662504{col 46}{space 1}    1.88{col 55}{space 3}0.063{col 63}{space 4}-.0176569{col 76}{space 3} .6432245
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2} .0663509{col 35}{space 2}  .151489{col 46}{space 1}    0.44{col 55}{space 3}0.662{col 63}{space 4}  -.23475{col 76}{space 3} .3674518
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2} -.183596{col 35}{space 2} .1616536{col 46}{space 1}   -1.14{col 55}{space 3}0.259{col 63}{space 4}   -.5049{col 76}{space 3}  .137708
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.1241316{col 35}{space 2} .1404174{col 46}{space 1}   -0.88{col 55}{space 3}0.379{col 63}{space 4}-.4032264{col 76}{space 3} .1549632
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} .0567848{col 35}{space 2} .2171466{col 46}{space 1}    0.26{col 55}{space 3}0.794{col 63}{space 4}-.3748175{col 76}{space 3} .4883871
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .0617361{col 35}{space 2}   .18959{col 46}{space 1}    0.33{col 55}{space 3}0.745{col 63}{space 4}-.3150945{col 76}{space 3} .4385667
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .2054547{col 35}{space 2}  .182578{col 46}{space 1}    1.13{col 55}{space 3}0.264{col 63}{space 4}-.1574389{col 76}{space 3} .5683483
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 2.132955{col 35}{space 2}  .460262{col 46}{space 1}    4.63{col 55}{space 3}0.000{col 63}{space 4} 1.218135{col 76}{space 3} 3.047776
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. margins, at(nonukes1_alliance=(0(1)1)) atmeans predict(xb) coeflegend post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       100
{txt}{col 1}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 8}3.9 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 8}2.9 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 7}3.61 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 4}1048.36 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 8}.19 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 8}.22 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 8}.77 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 8}.64 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 8}.15 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 8}.16 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 8}.19 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:milspendin~t}{space 4}{txt:=} {space 8}3.9 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:antimilita~t}{space 4}{txt:=} {space 8}2.9 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:safety_govt}{space 5}{txt:=} {space 7}3.61 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:moscow}{space 10}{txt:=} {space 4}1048.36 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~t}{space 4}{txt:=} {space 8}.19 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~e}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_t~l}{space 4}{txt:=} {space 8}.22 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_i~s}{space 4}{txt:=} {space 8}.77 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_n~y}{space 4}{txt:=} {space 8}.64 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_s~s}{space 4}{txt:=} {space 8}.15 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_p~e}{space 4}{txt:=} {space 8}.16 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:nonukes1_a~n}{space 4}{txt:=} {space 8}.19 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.273517{col 26}{txt}  _b[1bn._at]
{space 10}2  {c |}{col 14}{res}{space 2} 1.586301{col 26}{txt}  _b[2._at]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store model4
{txt}
{com}. 
. coefplot model1, bylabel(Refusal to Defend Scenario) || model3, bylabel(Troop Withdrawal Scenario) || model2, bylabel(Conditional Threat Scenario) || model4, bylabel(2x Spending Increase Scenario)  ///
> recast(bar) barw(0.15) vertical ylab(0(.1).7) ///
> ciopts(recast(rcap) color(black%50)) citop ///
> legend(order(1 "Reassurance" 3 "Abandonment" ///
> 5 "Conditional Pressure" 7 "Domestic Pressure")) ///
> ytitle("Government Likelihood of Pursuing Nuclear Weapons") ///
> xtitle("") bcolor(gray)  ///
> xlabel(1 "US Alliance Not Important" 2 "US Alliance Important") ytick(0(0.5)3) ylabel(0(0.5)3) graphregion(fcolor(white)) yline(0, lpattern(dash) lstyle(foreground) lcolor(black)) scheme(white_tableau) xtick(1(1)2)  xscale(noline)
{res}{txt}
{com}. *graph export "Figure4.jpg", replace as(jpg)  width(1000)
. *graph export "Figure4.eps", replace
. eststo clear
{txt}
{com}. restore
{txt}
{com}. 
. *Table A2*
. sum age female male government_ever government_current nuclear if nuclear != .

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}        108    45.13889    12.52247         22         75
{txt}{space 6}female {c |}{res}        110    .2545455     .437599          0          1
{txt}{space 8}male {c |}{res}        110    .7363636    .4426209          0          1
{txt}government~r {c |}{res}        110          .5    .5022883          0          1
{txt}government~t {c |}{res}        110    .1909091    .3948163          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}nuclear {c |}{res}        110    1.881818    1.002125          1          5
{txt}
{com}. *asdoc sum age female male government_ever government_current nuclear if nuclear != ., label replace save(Nonprolif_SumStats.rtf) 
. 
. *Table A3*
. pwcorr nuclear milspending antimilitarism safety female age government_ever government_current moscow milexpergdp_2023

             {txt}{c |}  nuclear milspe~g antimi~m   safety   female      age govern~r
{hline 13}{c +}{hline 63}
     nuclear {c |} {res}  1.0000 
 {txt}milspending {c |} {res}  0.2231   1.0000 
{txt}antimilita~m {c |} {res} -0.2534  -0.2358   1.0000 
      {txt}safety {c |} {res} -0.2421  -0.2166   0.0988   1.0000 
      {txt}female {c |} {res} -0.1400  -0.0322   0.2503  -0.1240   1.0000 
         {txt}age {c |} {res} -0.1060   0.1153  -0.1650  -0.1147  -0.2992   1.0000 
{txt}government~r {c |} {res}  0.0091   0.0192   0.1440  -0.1736   0.0335   0.2909   1.0000 
{txt}government~t {c |} {res}  0.1039  -0.0677   0.1541  -0.0181   0.1354  -0.1074   0.5099 
      {txt}moscow {c |} {res} -0.0055   0.1593  -0.1848   0.2384  -0.1488   0.2356  -0.2693 
{txt}milexpe~2023 {c |} {res}  0.2717  -0.1436   0.1574  -0.1883   0.0526  -0.2263   0.1574 

             {txt}{c |} govern~t   moscow mil~2023
{hline 13}{c +}{hline 27}
government~t {c |} {res}  1.0000 
      {txt}moscow {c |} {res} -0.3822   1.0000 
{txt}milexpe~2023 {c |} {res}  0.2117  -0.5625   1.0000 
{txt}
{com}. *asdoc pwcorr nuclear milspending antimilitarism safety female age government_ever government_current moscow milexpergdp_2023, label replace sig star(.05) save(Nonprolif_CorrMatrix_individ.rtf) font(Times New Roman)
. 
. 
. *Table A4*
. eststo clear
{txt}
{com}. eststo: reg nuclear milspending

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       110
{txt}{hline 13}{c +}{hline 34}   F(1, 108)       = {res}     5.66
{txt}       Model {c |} {res} 5.44926388         1  5.44926388   {txt}Prob > F        ={res}    0.0191
{txt}    Residual {c |} {res} 104.014372       108  .963096042   {txt}R-squared       ={res}    0.0498
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0410
{txt}       Total {c |} {res} 109.463636       109  1.00425354   {txt}Root MSE        =   {res} .98137

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     nuclear{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}milspending {c |}{col 14}{res}{space 2} .2264522{col 26}{space 2} .0952012{col 37}{space 1}    2.38{col 46}{space 3}0.019{col 54}{space 4} .0377469{col 67}{space 3} .4151575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9574814{col 26}{space 2} .3997008{col 37}{space 1}    2.40{col 46}{space 3}0.018{col 54}{space 4} .1652051{col 67}{space 3} 1.749758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: reg nuclear milspending antimilitarism safety moscow female agebracket government_ever2 government_current milexpergdp_2023

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       103
{txt}{hline 13}{c +}{hline 34}   F(9, 93)        = {res}     3.68
{txt}       Model {c |} {res} 25.9749341         9  2.88610379   {txt}Prob > F        ={res}    0.0006
{txt}    Residual {c |} {res} 72.8794348        93  .783649837   {txt}R-squared       ={res}    0.2628
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1914
{txt}       Total {c |} {res} 98.8543689       102   .96916048   {txt}Root MSE        =   {res} .88524

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           nuclear{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}milspending {c |}{col 20}{res}{space 2} .1906403{col 32}{space 2} .0951128{col 43}{space 1}    2.00{col 52}{space 3}0.048{col 60}{space 4} .0017652{col 73}{space 3} .3795155
{txt}{space 4}antimilitarism {c |}{col 20}{res}{space 2}-.1542921{col 32}{space 2} .0911392{col 43}{space 1}   -1.69{col 52}{space 3}0.094{col 60}{space 4}-.3352766{col 73}{space 3} .0266923
{txt}{space 12}safety {c |}{col 20}{res}{space 2}-.3135018{col 32}{space 2} .1307321{col 43}{space 1}   -2.40{col 52}{space 3}0.018{col 60}{space 4}-.5731097{col 73}{space 3}-.0538938
{txt}{space 12}moscow {c |}{col 20}{res}{space 2} .0005762{col 32}{space 2} .0002569{col 43}{space 1}    2.24{col 52}{space 3}0.027{col 60}{space 4}  .000066{col 73}{space 3} .0010864
{txt}{space 12}female {c |}{col 20}{res}{space 2}-.4502549{col 32}{space 2} .2191585{col 43}{space 1}   -2.05{col 52}{space 3}0.043{col 60}{space 4}-.8854603{col 73}{space 3}-.0150494
{txt}{space 8}agebracket {c |}{col 20}{res}{space 2}-.2275131{col 32}{space 2} .1348543{col 43}{space 1}   -1.69{col 52}{space 3}0.095{col 60}{space 4} -.495307{col 73}{space 3} .0402808
{txt}{space 2}government_ever2 {c |}{col 20}{res}{space 2}-.0838852{col 32}{space 2} .2206913{col 43}{space 1}   -0.38{col 52}{space 3}0.705{col 60}{space 4}-.5221344{col 73}{space 3}  .354364
{txt}government_current {c |}{col 20}{res}{space 2} .5280727{col 32}{space 2} .2670439{col 43}{space 1}    1.98{col 52}{space 3}0.051{col 60}{space 4}-.0022236{col 73}{space 3} 1.058369
{txt}{space 2}milexpergdp_2023 {c |}{col 20}{res}{space 2} .4165509{col 32}{space 2} .2173277{col 43}{space 1}    1.92{col 52}{space 3}0.058{col 60}{space 4}-.0150188{col 73}{space 3} .8481206
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 1.656323{col 32}{space 2} .9794822{col 43}{space 1}    1.69{col 52}{space 3}0.094{col 60}{space 4}-.2887345{col 73}{space 3} 3.601381
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}. eststo: ologit nuclear milspending

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-137.13111}  
Iteration 1:{space 3}log likelihood = {res:-135.47201}  
Iteration 2:{space 3}log likelihood = {res:-135.46563}  
Iteration 3:{space 3}log likelihood = {res:-135.46563}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       110
{txt}{col 49}LR chi2({res}1{txt}){col 67}= {res}      3.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0680
{txt}Log likelihood = {res}-135.46563{txt}{col 49}Pseudo R2{col 67}= {res}    0.0121

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     nuclear{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}milspending {c |}{col 14}{res}{space 2} .3251374{col 26}{space 2} .1833724{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0342659{col 67}{space 3} .6845407
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2} 1.084827{col 26}{space 2} .7650507{col 54}{space 4}-.4146445{col 67}{space 3} 2.584299
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2} 2.505328{col 26}{space 2} .7946146{col 54}{space 4} .9479116{col 67}{space 3} 4.062743
{txt}{space 7}/cut3 {c |}{col 14}{res}{space 2} 4.050609{col 26}{space 2} .8723826{col 54}{space 4} 2.340771{col 67}{space 3} 5.760447
{txt}{space 7}/cut4 {c |}{col 14}{res}{space 2} 4.945307{col 26}{space 2} .9796025{col 54}{space 4} 3.025321{col 67}{space 3} 6.865292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)

{com}. eststo: ologit nuclear milspending antimilitarism safety moscow female agebracket government_ever2 government_current milexpergdp_2023

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-124.45075}  
Iteration 1:{space 3}log likelihood = {res:-110.13163}  
Iteration 2:{space 3}log likelihood = {res:-109.62606}  
Iteration 3:{space 3}log likelihood = {res:-109.62404}  
Iteration 4:{space 3}log likelihood = {res:-109.62404}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       103
{txt}{col 49}LR chi2({res}9{txt}){col 67}= {res}     29.65
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0005
{txt}Log likelihood = {res}-109.62404{txt}{col 49}Pseudo R2{col 67}= {res}    0.1191

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           nuclear{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}milspending {c |}{col 20}{res}{space 2} .4082406{col 32}{space 2} .2438875{col 43}{space 1}    1.67{col 52}{space 3}0.094{col 60}{space 4}  -.06977{col 73}{space 3} .8862512
{txt}{space 4}antimilitarism {c |}{col 20}{res}{space 2}-.3620244{col 32}{space 2} .2157472{col 43}{space 1}   -1.68{col 52}{space 3}0.093{col 60}{space 4}-.7848811{col 73}{space 3} .0608324
{txt}{space 12}safety {c |}{col 20}{res}{space 2}-.8346326{col 32}{space 2} .2948501{col 43}{space 1}   -2.83{col 52}{space 3}0.005{col 60}{space 4}-1.412528{col 73}{space 3}-.2567369
{txt}{space 12}moscow {c |}{col 20}{res}{space 2} .0012044{col 32}{space 2} .0005575{col 43}{space 1}    2.16{col 52}{space 3}0.031{col 60}{space 4} .0001116{col 73}{space 3} .0022971
{txt}{space 12}female {c |}{col 20}{res}{space 2}-1.011533{col 32}{space 2} .5053931{col 43}{space 1}   -2.00{col 52}{space 3}0.045{col 60}{space 4}-2.002086{col 73}{space 3}-.0209812
{txt}{space 8}agebracket {c |}{col 20}{res}{space 2}-.4574983{col 32}{space 2} .3084994{col 43}{space 1}   -1.48{col 52}{space 3}0.138{col 60}{space 4}-1.062146{col 73}{space 3} .1471495
{txt}{space 2}government_ever2 {c |}{col 20}{res}{space 2}-.2084446{col 32}{space 2} .4954653{col 43}{space 1}   -0.42{col 52}{space 3}0.674{col 60}{space 4}-1.179539{col 73}{space 3} .7626494
{txt}government_current {c |}{col 20}{res}{space 2} 1.236851{col 32}{space 2} .6061007{col 43}{space 1}    2.04{col 52}{space 3}0.041{col 60}{space 4} .0489155{col 73}{space 3} 2.424787
{txt}{space 2}milexpergdp_2023 {c |}{col 20}{res}{space 2} .8225936{col 32}{space 2} .4860444{col 43}{space 1}    1.69{col 52}{space 3}0.091{col 60}{space 4}-.1300359{col 73}{space 3} 1.775223
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/cut1 {c |}{col 20}{res}{space 2}-.5664351{col 32}{space 2} 2.139218{col 60}{space 4}-4.759226{col 73}{space 3} 3.626356
{txt}{space 13}/cut2 {c |}{col 20}{res}{space 2} 1.321743{col 32}{space 2} 2.148634{col 60}{space 4}-2.889504{col 73}{space 3} 5.532989
{txt}{space 13}/cut3 {c |}{col 20}{res}{space 2}  2.91313{col 32}{space 2} 2.180105{col 60}{space 4}-1.359798{col 73}{space 3} 7.186058
{txt}{space 13}/cut4 {c |}{col 20}{res}{space 2} 3.691729{col 32}{space 2} 2.218749{col 60}{space 4}-.6569386{col 73}{space 3} 8.040396
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)

{com}. eststo clear
{txt}
{com}. 
. *Table A5*
. eststo clear
{txt}
{com}. eststo: reg govt_nodefend_nuke nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       107
{txt}{hline 13}{c +}{hline 34}   F(8, 98)        = {res}     2.14
{txt}       Model {c |} {res} 11.7053762         8  1.46317202   {txt}Prob > F        ={res}    0.0388
{txt}    Residual {c |} {res}  66.967521        98  .683342051   {txt}R-squared       ={res}    0.1488
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0793
{txt}       Total {c |} {res} 78.6728972       106  .742197143   {txt}Root MSE        =   {res} .82665

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_nodefend_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.3988164{col 35}{space 2} .2108458{col 46}{space 1}   -1.89{col 55}{space 3}0.062{col 63}{space 4}-.8172331{col 76}{space 3} .0196002
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .4596256{col 35}{space 2} .2056542{col 46}{space 1}    2.23{col 55}{space 3}0.028{col 63}{space 4} .0515116{col 76}{space 3} .8677397
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2} -.057379{col 35}{space 2}  .206617{col 46}{space 1}   -0.28{col 55}{space 3}0.782{col 63}{space 4}-.4674037{col 76}{space 3} .3526457
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.6076135{col 35}{space 2} .2127643{col 46}{space 1}   -2.86{col 55}{space 3}0.005{col 63}{space 4}-1.029837{col 76}{space 3}-.1853896
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.0365232{col 35}{space 2} .1857693{col 46}{space 1}   -0.20{col 55}{space 3}0.845{col 63}{space 4}-.4051764{col 76}{space 3} .3321299
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} .0364518{col 35}{space 2} .2880416{col 46}{space 1}    0.13{col 55}{space 3}0.900{col 63}{space 4}-.5351574{col 76}{space 3} .6080611
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1349114{col 35}{space 2} .2539852{col 46}{space 1}    0.53{col 55}{space 3}0.596{col 63}{space 4}-.3691139{col 76}{space 3} .6389368
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .3630642{col 35}{space 2} .2472867{col 46}{space 1}    1.47{col 55}{space 3}0.145{col 63}{space 4}-.1276682{col 76}{space 3} .8537966
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.838167{col 35}{space 2} .2018934{col 46}{space 1}    9.10{col 55}{space 3}0.000{col 63}{space 4} 1.437516{col 76}{space 3} 2.238818
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est1{txt} stored)

{com}. eststo: reg govt_conditional_nuke nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       108
{txt}{hline 13}{c +}{hline 34}   F(8, 99)        = {res}     1.51
{txt}       Model {c |} {res} 5.61024118         8  .701280148   {txt}Prob > F        ={res}    0.1642
{txt}    Residual {c |} {res} 46.0564255        99  .465216419   {txt}R-squared       ={res}    0.1086
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0366
{txt}       Total {c |} {res} 51.6666667       107  .482866044   {txt}Root MSE        =   {res} .68207

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_conditional_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.0849696{col 35}{space 2} .1737358{col 46}{space 1}   -0.49{col 55}{space 3}0.626{col 63}{space 4}-.4296992{col 76}{space 3}   .25976
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .2729281{col 35}{space 2} .1696659{col 46}{space 1}    1.61{col 55}{space 3}0.111{col 63}{space 4}-.0637258{col 76}{space 3}  .609582
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.1797058{col 35}{space 2} .1700353{col 46}{space 1}   -1.06{col 55}{space 3}0.293{col 63}{space 4}-.5170927{col 76}{space 3} .1576812
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.4881522{col 35}{space 2} .1755504{col 46}{space 1}   -2.78{col 55}{space 3}0.006{col 63}{space 4}-.8364823{col 76}{space 3}-.1398221
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.0802161{col 35}{space 2} .1530166{col 46}{space 1}   -0.52{col 55}{space 3}0.601{col 63}{space 4}-.3838342{col 76}{space 3}  .223402
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}-.0648832{col 35}{space 2} .2330295{col 46}{space 1}   -0.28{col 55}{space 3}0.781{col 63}{space 4}-.5272642{col 76}{space 3} .3974978
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1277846{col 35}{space 2} .2064517{col 46}{space 1}    0.62{col 55}{space 3}0.537{col 63}{space 4}-.2818603{col 76}{space 3} .5374296
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .1958483{col 35}{space 2} .2030409{col 46}{space 1}    0.96{col 55}{space 3}0.337{col 63}{space 4}-.2070289{col 76}{space 3} .5987255
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.810315{col 35}{space 2} .1665594{col 46}{space 1}   10.87{col 55}{space 3}0.000{col 63}{space 4} 1.479825{col 76}{space 3} 2.140805
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est2{txt} stored)

{com}. eststo: reg govt_withdraw_nuke nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}        78
{txt}{hline 13}{c +}{hline 34}   F(8, 69)        = {res}     1.88
{txt}       Model {c |} {res} 9.81794219         8  1.22724277   {txt}Prob > F        ={res}    0.0773
{txt}    Residual {c |} {res} 45.0538527        69  .652954387   {txt}R-squared       ={res}    0.1789
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0837
{txt}       Total {c |} {res} 54.8717949        77  .712620713   {txt}Root MSE        =   {res} .80806

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_withdraw_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.2598666{col 35}{space 2} .2491133{col 46}{space 1}   -1.04{col 55}{space 3}0.301{col 63}{space 4}-.7568341{col 76}{space 3} .2371009
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .5904419{col 35}{space 2} .2588134{col 46}{space 1}    2.28{col 55}{space 3}0.026{col 63}{space 4} .0741233{col 76}{space 3}  1.10676
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2} .2394712{col 35}{space 2} .2664311{col 46}{space 1}    0.90{col 55}{space 3}0.372{col 63}{space 4}-.2920443{col 76}{space 3} .7709868
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.5343734{col 35}{space 2} .2415662{col 46}{space 1}   -2.21{col 55}{space 3}0.030{col 63}{space 4}-1.016285{col 76}{space 3} -.052462
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2} .0347349{col 35}{space 2} .2139518{col 46}{space 1}    0.16{col 55}{space 3}0.872{col 63}{space 4}-.3920872{col 76}{space 3}  .461557
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} .1522078{col 35}{space 2} .3612278{col 46}{space 1}    0.42{col 55}{space 3}0.675{col 63}{space 4}-.5684219{col 76}{space 3} .8728375
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .3171663{col 35}{space 2} .3082035{col 46}{space 1}    1.03{col 55}{space 3}0.307{col 63}{space 4}-.2976829{col 76}{space 3} .9320156
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .2765196{col 35}{space 2} .2963937{col 46}{space 1}    0.93{col 55}{space 3}0.354{col 63}{space 4}-.3147698{col 76}{space 3} .8678089
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.515789{col 35}{space 2} .2860579{col 46}{space 1}    5.30{col 55}{space 3}0.000{col 63}{space 4} .9451189{col 76}{space 3} 2.086459
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est3{txt} stored)

{com}. eststo: reg govt_spendinginc_nuke nonukes1_nothreat-nonukes1_abandon

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       106
{txt}{hline 13}{c +}{hline 34}   F(8, 97)        = {res}     0.97
{txt}       Model {c |} {res} 3.13208779         8  .391510973   {txt}Prob > F        ={res}    0.4637
{txt}    Residual {c |} {res} 39.1320632        97  .403423332   {txt}R-squared       ={res}    0.0741
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0023
{txt}       Total {c |} {res} 42.2641509       105  .402515723   {txt}Root MSE        =   {res} .63516

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_spendinginc_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.1562009{col 35}{space 2}   .16243{col 46}{space 1}   -0.96{col 55}{space 3}0.339{col 63}{space 4}-.4785794{col 76}{space 3} .1661776
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .2362985{col 35}{space 2} .1580156{col 46}{space 1}    1.50{col 55}{space 3}0.138{col 63}{space 4}-.0773188{col 76}{space 3} .5499158
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2} .0169539{col 35}{space 2} .1587649{col 46}{space 1}    0.11{col 55}{space 3}0.915{col 63}{space 4}-.2981505{col 76}{space 3} .3320583
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.3126973{col 35}{space 2} .1635511{col 46}{space 1}   -1.91{col 55}{space 3}0.059{col 63}{space 4}-.6373008{col 76}{space 3} .0119063
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.0879347{col 35}{space 2} .1428168{col 46}{space 1}   -0.62{col 55}{space 3}0.540{col 63}{space 4}-.3713865{col 76}{space 3}  .195517
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2} -.054191{col 35}{space 2} .2269687{col 46}{space 1}   -0.24{col 55}{space 3}0.812{col 63}{space 4}-.5046611{col 76}{space 3} .3962791
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .0833194{col 35}{space 2} .1964782{col 46}{space 1}    0.42{col 55}{space 3}0.672{col 63}{space 4}-.3066354{col 76}{space 3} .4732741
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .1883044{col 35}{space 2}  .193403{col 46}{space 1}    0.97{col 55}{space 3}0.333{col 63}{space 4}-.1955469{col 76}{space 3} .5721558
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} 1.630432{col 35}{space 2} .1551405{col 46}{space 1}   10.51{col 55}{space 3}0.000{col 63}{space 4} 1.322522{col 76}{space 3} 1.938343
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}({res}est4{txt} stored)

{com}. eststo: ologit govt_nodefend_nuke nonukes1_nothreat-nonukes1_abandon

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-116.31469}  
Iteration 1:{space 3}log likelihood = {res:-108.66128}  
Iteration 2:{space 3}log likelihood = {res:-108.56363}  
Iteration 3:{space 3}log likelihood = {res:-108.56345}  
Iteration 4:{space 3}log likelihood = {res:-108.56345}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       107
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     15.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0501
{txt}Log likelihood = {res}-108.56345{txt}{col 49}Pseudo R2{col 67}= {res}    0.0666

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_nodefend_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-1.103521{col 35}{space 2} .5510572{col 46}{space 1}   -2.00{col 55}{space 3}0.045{col 63}{space 4}-2.183574{col 76}{space 3}-.0234688
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} 1.052048{col 35}{space 2} .4986052{col 46}{space 1}    2.11{col 55}{space 3}0.035{col 63}{space 4} .0747993{col 76}{space 3} 2.029296
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.1818858{col 35}{space 2} .5185575{col 46}{space 1}   -0.35{col 55}{space 3}0.726{col 63}{space 4} -1.19824{col 76}{space 3} .8344682
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-1.414269{col 35}{space 2} .5159827{col 46}{space 1}   -2.74{col 55}{space 3}0.006{col 63}{space 4}-2.425576{col 76}{space 3}-.4029615
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}  .035349{col 35}{space 2} .4423897{col 46}{space 1}    0.08{col 55}{space 3}0.936{col 63}{space 4}-.8317189{col 76}{space 3} .9024169
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}-.0609256{col 35}{space 2} .6962401{col 46}{space 1}   -0.09{col 55}{space 3}0.930{col 63}{space 4}-1.425531{col 76}{space 3}  1.30368
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1927413{col 35}{space 2} .6052482{col 46}{space 1}    0.32{col 55}{space 3}0.750{col 63}{space 4}-.9935234{col 76}{space 3} 1.379006
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .8085543{col 35}{space 2} .5912317{col 46}{space 1}    1.37{col 55}{space 3}0.171{col 63}{space 4}-.3502386{col 76}{space 3} 1.967347
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2}-.3750342{col 35}{space 2} .4819305{col 63}{space 4}-1.319601{col 76}{space 3} .5695322
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2} 1.436729{col 35}{space 2} .5008042{col 63}{space 4} .4551712{col 76}{space 3} 2.418288
{txt}{space 16}/cut3 {c |}{col 23}{res}{space 2} 3.962711{col 35}{space 2}  .837017{col 63}{space 4} 2.322188{col 76}{space 3} 5.603234
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)

{com}. eststo: ologit govt_conditional_nuke nonukes1_nothreat-nonukes1_abandon

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-104.11953}  
Iteration 1:{space 3}log likelihood = {res:-97.004563}  
Iteration 2:{space 3}log likelihood = {res:-96.903821}  
Iteration 3:{space 3}log likelihood = {res:-96.903593}  
Iteration 4:{space 3}log likelihood = {res:-96.903593}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       108
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     14.43
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0712
{txt}Log likelihood = {res}-96.903593{txt}{col 49}Pseudo R2{col 67}= {res}    0.0693

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_conditional_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.8464071{col 35}{space 2} .5742492{col 46}{space 1}   -1.47{col 55}{space 3}0.140{col 63}{space 4}-1.971915{col 76}{space 3} .2791007
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} 1.008967{col 35}{space 2} .5269889{col 46}{space 1}    1.91{col 55}{space 3}0.056{col 63}{space 4}-.0239127{col 76}{space 3} 2.041846
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.7959836{col 35}{space 2} .5383105{col 46}{space 1}   -1.48{col 55}{space 3}0.139{col 63}{space 4}-1.851053{col 76}{space 3} .2590857
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-1.218826{col 35}{space 2} .5386534{col 46}{space 1}   -2.26{col 55}{space 3}0.024{col 63}{space 4}-2.274567{col 76}{space 3}-.1630848
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.3815522{col 35}{space 2} .4714443{col 46}{space 1}   -0.81{col 55}{space 3}0.418{col 63}{space 4}-1.305566{col 76}{space 3} .5424617
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}-.3704837{col 35}{space 2} .6860685{col 46}{space 1}   -0.54{col 55}{space 3}0.589{col 63}{space 4}-1.715153{col 76}{space 3} .9741858
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .3663936{col 35}{space 2}  .596576{col 46}{space 1}    0.61{col 55}{space 3}0.539{col 63}{space 4}-.8028739{col 76}{space 3} 1.535661
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .8392021{col 35}{space 2} .5874572{col 46}{space 1}    1.43{col 55}{space 3}0.153{col 63}{space 4}-.3121929{col 76}{space 3} 1.990597
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2}-.5207424{col 35}{space 2} .5088472{col 63}{space 4}-1.518065{col 76}{space 3} .4765799
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2} 2.167179{col 35}{space 2} .5707052{col 63}{space 4} 1.048617{col 76}{space 3} 3.285741
{txt}{space 16}/cut3 {c |}{col 23}{res}{space 2} 3.766126{col 35}{space 2} .8433133{col 63}{space 4} 2.113262{col 76}{space 3}  5.41899
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. eststo: ologit govt_withdraw_nuke nonukes1_nothreat-nonukes1_abandon

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-86.460731}  
Iteration 1:{space 3}log likelihood = {res:-79.599335}  
Iteration 2:{space 3}log likelihood = {res:-79.498781}  
Iteration 3:{space 3}log likelihood = {res:-79.498443}  
Iteration 4:{space 3}log likelihood = {res:-79.498443}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}        78
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     13.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0838
{txt}Log likelihood = {res}-79.498443{txt}{col 49}Pseudo R2{col 67}= {res}    0.0805

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   govt_withdraw_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-1.021254{col 35}{space 2} .6868812{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-2.367516{col 76}{space 3} .3250089
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} 1.526665{col 35}{space 2}   .67984{col 46}{space 1}    2.25{col 55}{space 3}0.025{col 63}{space 4} .1942031{col 76}{space 3} 2.859127
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}  .483079{col 35}{space 2} .6867482{col 46}{space 1}    0.70{col 55}{space 3}0.482{col 63}{space 4}-.8629228{col 76}{space 3} 1.829081
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-1.220978{col 35}{space 2} .6192943{col 46}{space 1}   -1.97{col 55}{space 3}0.049{col 63}{space 4}-2.434772{col 76}{space 3}-.0071832
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2} .1536541{col 35}{space 2} .5516436{col 46}{space 1}    0.28{col 55}{space 3}0.781{col 63}{space 4}-.9275476{col 76}{space 3} 1.234856
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}-.0428255{col 35}{space 2} .9123576{col 46}{space 1}   -0.05{col 55}{space 3}0.963{col 63}{space 4}-1.831013{col 76}{space 3} 1.745362
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .6363021{col 35}{space 2} .7420078{col 46}{space 1}    0.86{col 55}{space 3}0.391{col 63}{space 4}-.8180064{col 76}{space 3} 2.090611
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .9502237{col 35}{space 2} .7278664{col 46}{space 1}    1.31{col 55}{space 3}0.192{col 63}{space 4}-.4763682{col 76}{space 3} 2.376816
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2} .3915809{col 35}{space 2} .7299702{col 63}{space 4}-1.039134{col 76}{space 3} 1.822296
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2} 2.675172{col 35}{space 2} .7923389{col 63}{space 4} 1.122216{col 76}{space 3} 4.228128
{txt}{space 16}/cut3 {c |}{col 23}{res}{space 2} 4.135099{col 35}{space 2} .9411173{col 63}{space 4} 2.290543{col 76}{space 3} 5.979655
{txt}{space 16}/cut4 {c |}{col 23}{res}{space 2}  5.28731{col 35}{space 2} 1.246134{col 63}{space 4} 2.844932{col 76}{space 3} 7.729689
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est7{txt} stored)

{com}. eststo: ologit govt_spendinginc_nuke nonukes1_nothreat-nonukes1_abandon

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-95.287193}  
Iteration 1:{space 3}log likelihood = {res:-91.381008}  
Iteration 2:{space 3}log likelihood = {res:-91.354547}  
Iteration 3:{space 3}log likelihood = {res:-91.354531}  
Iteration 4:{space 3}log likelihood = {res:-91.354531}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       106
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}      7.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.4467
{txt}Log likelihood = {res}-91.354531{txt}{col 49}Pseudo R2{col 67}= {res}    0.0413

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}govt_spendinginc_nuke{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}nonukes1_nothreat {c |}{col 23}{res}{space 2}-.6901516{col 35}{space 2} .5545008{col 46}{space 1}   -1.24{col 55}{space 3}0.213{col 63}{space 4}-1.776953{col 76}{space 3}   .39665
{txt}{space 4}nonukes1_alliance {c |}{col 23}{res}{space 2} .8111782{col 35}{space 2} .5170732{col 46}{space 1}    1.57{col 55}{space 3}0.117{col 63}{space 4}-.2022666{col 76}{space 3} 1.824623
{txt}{space 3}nonukes1_technical {c |}{col 23}{res}{space 2}-.1676246{col 35}{space 2}   .53594{col 46}{space 1}   -0.31{col 55}{space 3}0.754{col 63}{space 4}-1.218048{col 76}{space 3} .8827985
{txt}{space 3}nonukes1_intlnorms {c |}{col 23}{res}{space 2}-.9463961{col 35}{space 2} .5314594{col 46}{space 1}   -1.78{col 55}{space 3}0.075{col 63}{space 4}-1.988037{col 76}{space 3} .0952451
{txt}nonukes1_natlidentity {c |}{col 23}{res}{space 2}-.1376429{col 35}{space 2} .4627582{col 46}{space 1}   -0.30{col 55}{space 3}0.766{col 63}{space 4}-1.044632{col 76}{space 3} .7693465
{txt}{space 3}nonukes1_sanctions {c |}{col 23}{res}{space 2}-.2566705{col 35}{space 2} .7054862{col 46}{space 1}   -0.36{col 55}{space 3}0.716{col 63}{space 4}-1.639398{col 76}{space 3} 1.126057
{txt}{space 2}nonukes1_preventive {c |}{col 23}{res}{space 2} .1847506{col 35}{space 2} .6149671{col 46}{space 1}    0.30{col 55}{space 3}0.764{col 63}{space 4}-1.020563{col 76}{space 3} 1.390064
{txt}{space 5}nonukes1_abandon {c |}{col 23}{res}{space 2} .7285528{col 35}{space 2} .5846969{col 46}{space 1}    1.25{col 55}{space 3}0.213{col 63}{space 4} -.417432{col 76}{space 3} 1.874538
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2} -.054345{col 35}{space 2} .5103699{col 63}{space 4}-1.054652{col 76}{space 3} .9459617
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2} 2.460358{col 35}{space 2}   .59127{col 63}{space 4}  1.30149{col 76}{space 3} 3.619226
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est8{txt} stored)

{com}. eststo clear
{txt}
{com}. 
. *Table A6*
. 
. preserve
{txt}
{com}. 
. local vars individ_nodefend_nuke individ_conditional_nuke individ_withdraw_nuke individ_spendinginc_nuke  
{txt}
{com}. local groupvar government_current      
{txt}
{com}. 
. 
. foreach var in  individ_nodefend_nuke individ_conditional_nuke individ_withdraw_nuke individ_spendinginc_nuke govt_nodefend_nuke govt_conditional_nuke govt_withdraw_nuke govt_spendinginc_nuke {c -(}
{txt}  2{com}. ttest `var', by(`groupvar')
{txt}  3{com}. {c )-}   

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     86{col 22} 2.360465{col 34} .1342892{col 46} 1.245347{col 58} 2.093462{col 70} 2.627468
       {txt}1 {c |}{res}{col 12}     21{col 22} 2.333333{col 34} .2788867{col 46} 1.278019{col 58} 1.751586{col 70} 2.915081
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22}  2.35514{col 34} .1204327{col 46} 1.245765{col 58} 2.116371{col 70}  2.59391
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0271318{col 34} .3046569{col 58}-.5769467{col 70} .6312102
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0891
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5354         {txt}Pr(|T| > |t|) = {res}0.9292          {txt}Pr(T > t) = {res}0.4646

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     87{col 22} 2.218391{col 34} .1206164{col 46} 1.125035{col 58} 1.978613{col 70} 2.458168
       {txt}1 {c |}{res}{col 12}     21{col 22}        2{col 34} .2182179{col 46}        1{col 58} 1.544805{col 70} 2.455195
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    108{col 22} 2.175926{col 34} .1059241{col 46} 1.100796{col 58} 1.965944{col 70} 2.385908
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2183908{col 34} .2680605{col 58}-.3130652{col 70} .7498469
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8147
{txt}Ho: diff = 0                                     degrees of freedom = {res}     106

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7915         {txt}Pr(|T| > |t|) = {res}0.4171          {txt}Pr(T > t) = {res}0.2085

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     64{col 22} 2.328125{col 34} .1622246{col 46} 1.297797{col 58} 2.003945{col 70} 2.652305
       {txt}1 {c |}{res}{col 12}     14{col 22} 2.428571{col 34} .3094534{col 46} 1.157868{col 58} 1.760038{col 70} 3.097105
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     78{col 22} 2.346154{col 34} .1434865{col 46} 1.267239{col 58} 2.060436{col 70} 2.631872
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1004464{col 34} .3761722{col 58}-.8496583{col 70} .6487654
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2670
{txt}Ho: diff = 0                                     degrees of freedom = {res}      76

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3951         {txt}Pr(|T| > |t|) = {res}0.7902          {txt}Pr(T > t) = {res}0.6049

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     86{col 22} 2.069767{col 34} .1069292{col 46} .9916202{col 58} 1.857164{col 70} 2.282371
       {txt}1 {c |}{res}{col 12}     21{col 22}        2{col 34}   .19518{col 46} .8944272{col 58} 1.592862{col 70} 2.407138
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22} 2.056075{col 34} .0937397{col 46} .9696505{col 58} 1.870227{col 70} 2.241923
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0697674{col 34} .2370432{col 58}-.4002454{col 70} .5397803
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2943
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6155         {txt}Pr(|T| > |t|) = {res}0.7691          {txt}Pr(T > t) = {res}0.3845

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     86{col 22} 1.802326{col 34} .0947598{col 46} .8787661{col 58} 1.613918{col 70} 1.990733
       {txt}1 {c |}{res}{col 12}     21{col 22}  1.47619{col 34} .1635768{col 46} .7496031{col 58} 1.134975{col 70} 1.817406
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22} 1.738318{col 34} .0832852{col 46} .8615086{col 58} 1.573197{col 70} 1.903439
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3261351{col 34} .2082756{col 58}-.0868369{col 70} .7391071
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5659
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9398         {txt}Pr(|T| > |t|) = {res}0.1204          {txt}Pr(T > t) = {res}0.0602

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     87{col 22} 1.655172{col 34} .0728016{col 46} .6790483{col 58} 1.510448{col 70} 1.799897
       {txt}1 {c |}{res}{col 12}     21{col 22} 1.428571{col 34} .1628822{col 46}   .74642{col 58} 1.088805{col 70} 1.768338
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    108{col 22} 1.611111{col 34} .0668654{col 46} .6948856{col 58} 1.478558{col 70} 1.743664
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .226601{col 34} .1683112{col 58}-.1070924{col 70} .5602944
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.3463
{txt}Ho: diff = 0                                     degrees of freedom = {res}     106

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9095         {txt}Pr(|T| > |t|) = {res}0.1811          {txt}Pr(T > t) = {res}0.0905

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     64{col 22}  1.78125{col 34} .1078946{col 46} .8631568{col 58}  1.56564{col 70}  1.99686
       {txt}1 {c |}{res}{col 12}     14{col 22} 1.571429{col 34} .2020305{col 46} .7559289{col 58} 1.134968{col 70} 2.007889
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     78{col 22}  1.74359{col 34} .0955833{col 46} .8441687{col 58} 1.553259{col 70}  1.93392
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2098214{col 34} .2495459{col 58}-.2871923{col 70} .7068352
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8408
{txt}Ho: diff = 0                                     degrees of freedom = {res}      76

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7985         {txt}Pr(|T| > |t|) = {res}0.4031          {txt}Pr(T > t) = {res}0.2015

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     85{col 22} 1.576471{col 34} .0677292{col 46} .6244325{col 58} 1.441784{col 70} 1.711158
       {txt}1 {c |}{res}{col 12}     21{col 22} 1.428571{col 34} .1475422{col 46} .6761234{col 58} 1.120804{col 70} 1.736339
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    106{col 22}  1.54717{col 34} .0616224{col 46} .6344413{col 58} 1.424984{col 70} 1.669356
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1478992{col 34} .1546687{col 58}-.1588146{col 70}  .454613
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9562
{txt}Ho: diff = 0                                     degrees of freedom = {res}     104

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8294         {txt}Pr(|T| > |t|) = {res}0.3412          {txt}Pr(T > t) = {res}0.1706
{txt}
{com}. restore
{txt}
{com}. 
. 
. 
. *Table A7*
. preserve
{txt}
{com}. 
.            
. local vars individ_nodefend_nuke individ_conditional_nuke individ_withdraw_nuke individ_spendinginc_nuke  
{txt}
{com}. local groupvar government_ever        
{txt}
{com}. 
. foreach var in  individ_nodefend_nuke individ_conditional_nuke individ_withdraw_nuke individ_spendinginc_nuke govt_nodefend_nuke govt_conditional_nuke govt_withdraw_nuke govt_spendinginc_nuke {c -(}
{txt}  2{com}. ttest `var', by(`groupvar')
{txt}  3{com}. {c )-}   

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     53{col 22} 2.471698{col 34} .1778842{col 46} 1.295017{col 58} 2.114747{col 70} 2.828649
       {txt}1 {c |}{res}{col 12}     54{col 22} 2.240741{col 34} .1628176{col 46}  1.19646{col 58}  1.91417{col 70} 2.567311
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22}  2.35514{col 34} .1204327{col 46} 1.245765{col 58} 2.116371{col 70}  2.59391
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2309574{col 34} .2409683{col 58}-.2468384{col 70} .7087531
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9585
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8300         {txt}Pr(|T| > |t|) = {res}0.3400          {txt}Pr(T > t) = {res}0.1700

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     54{col 22} 2.277778{col 34} .1638476{col 46} 1.204029{col 58} 1.949141{col 70} 2.606414
       {txt}1 {c |}{res}{col 12}     54{col 22} 2.074074{col 34} .1344083{col 46} .9876951{col 58} 1.804485{col 70} 2.343663
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    108{col 22} 2.175926{col 34} .1059241{col 46} 1.100796{col 58} 1.965944{col 70} 2.385908
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2037037{col 34} .2119236{col 58}-.2164554{col 70} .6238629
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9612
{txt}Ho: diff = 0                                     degrees of freedom = {res}     106

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8307         {txt}Pr(|T| > |t|) = {res}0.3386          {txt}Pr(T > t) = {res}0.1693

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     41{col 22} 2.463415{col 34} .2098128{col 46} 1.343457{col 58} 2.039367{col 70} 2.887462
       {txt}1 {c |}{res}{col 12}     37{col 22} 2.216216{col 34}  .194269{col 46} 1.181692{col 58}  1.82222{col 70} 2.610212
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     78{col 22} 2.346154{col 34} .1434865{col 46} 1.267239{col 58} 2.060436{col 70} 2.631872
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2471984{col 34} .2878422{col 58}-.3260889{col 70} .8204858
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8588
{txt}Ho: diff = 0                                     degrees of freedom = {res}      76

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8034         {txt}Pr(|T| > |t|) = {res}0.3932          {txt}Pr(T > t) = {res}0.1966

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     53{col 22} 2.169811{col 34} .1468979{col 46} 1.069433{col 58} 1.875039{col 70} 2.464584
       {txt}1 {c |}{res}{col 12}     54{col 22} 1.944444{col 34} .1164843{col 46} .8559815{col 58} 1.710806{col 70} 2.178082
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22} 2.056075{col 34} .0937397{col 46} .9696505{col 58} 1.870227{col 70} 2.241923
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2253669{col 34} .1870899{col 58}-.1455978{col 70} .5963315
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2046
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8845         {txt}Pr(|T| > |t|) = {res}0.2311          {txt}Pr(T > t) = {res}0.1155

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     53{col 22} 1.943396{col 34} .1331081{col 46} .9690418{col 58} 1.676295{col 70} 2.210497
       {txt}1 {c |}{res}{col 12}     54{col 22} 1.537037{col 34} .0942548{col 46} .6926287{col 58} 1.347986{col 70} 1.726088
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    107{col 22} 1.738318{col 34} .0832852{col 46} .8615086{col 58} 1.573197{col 70} 1.903439
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .4063592{col 34}  .162603{col 58} .0839475{col 70} .7287709
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.4991
{txt}Ho: diff = 0                                     degrees of freedom = {res}     105

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9930         {txt}Pr(|T| > |t|) = {res}0.0140          {txt}Pr(T > t) = {res}0.0070

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     54{col 22} 1.648148{col 34} .0958882{col 46} .7046318{col 58} 1.455821{col 70} 1.840476
       {txt}1 {c |}{res}{col 12}     54{col 22} 1.574074{col 34}  .093842{col 46} .6895952{col 58} 1.385851{col 70} 1.762297
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    108{col 22} 1.611111{col 34} .0668654{col 46} .6948856{col 58} 1.478558{col 70} 1.743664
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0740741{col 34} .1341674{col 58}-.1919258{col 70} .3400739
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.5521
{txt}Ho: diff = 0                                     degrees of freedom = {res}     106

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7090         {txt}Pr(|T| > |t|) = {res}0.5820          {txt}Pr(T > t) = {res}0.2910

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     41{col 22} 1.878049{col 34}  .152999{col 46} .9796714{col 58} 1.568826{col 70} 2.187271
       {txt}1 {c |}{res}{col 12}     37{col 22} 1.594595{col 34} .1058319{col 46} .6437503{col 58} 1.379958{col 70} 1.809232
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     78{col 22}  1.74359{col 34} .0955833{col 46} .8441687{col 58} 1.553259{col 70}  1.93392
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2834542{col 34} .1899104{col 58}-.0947851{col 70} .6616934
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.4926
{txt}Ho: diff = 0                                     degrees of freedom = {res}      76

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9302         {txt}Pr(|T| > |t|) = {res}0.1397          {txt}Pr(T > t) = {res}0.0698

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     53{col 22} 1.641509{col 34} .0897276{col 46} .6532269{col 58} 1.461458{col 70} 1.821561
       {txt}1 {c |}{res}{col 12}     53{col 22}  1.45283{col 34} .0833185{col 46} .6065678{col 58} 1.285639{col 70} 1.620021
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    106{col 22}  1.54717{col 34} .0616224{col 46} .6344413{col 58} 1.424984{col 70} 1.669356
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1886792{col 34}  .122446{col 58}-.0541357{col 70} .4314942
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5409
{txt}Ho: diff = 0                                     degrees of freedom = {res}     104

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9368         {txt}Pr(|T| > |t|) = {res}0.1264          {txt}Pr(T > t) = {res}0.0632
{txt}
{com}. restore
{txt}
{com}. 
. 
. *Figure A1a*
. preserve
{txt}
{com}. hist nuclear, percent graphregion(fcolor(white)) ytitle("% of Responses") discrete xlabel(1(1)5)
{txt}(start={res}1{txt}, width={res}1{txt})
{res}{txt}
{com}. *eststo clear
. restore
{txt}
{com}. 
. *Figure A1b*
. preserve
{txt}
{com}. replace country = "Neth." if country=="Netherlands"
{txt}(3 real changes made)

{com}. graph hbar (mean) nuclear, over(country, sort(nuclear) label(labsize(*0.8))) graphregion(fcolor(white)) ytitle("Support for Nuclear Weapons")
{res}{txt}
{com}. *eststo clear
. restore
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\brdbl\Dropbox\New Alliance Work\Nonproliferation and Burden-Sharing\Submissions\ISQ (Proliferation Elite Survey)\Final\ReplicationPackage\Replication_LogFile.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}31 Mar 2025, 17:52:51
{txt}{.-}
{smcl}
{txt}{sf}{ul off}